Senior Data Scientist
alirezarezvani/claude-skills/engineering-team/skills/senior-data-scientistby alirezarezvani19392f7a0826No license27K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 5 weeks ago
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/experiment_design_frameworks.md | 1.4 KB | text/markdown |
| references/feature_engineering_patterns.md | 1.4 KB | text/markdown |
| references/statistical_methods_advanced.md | 1.4 KB | text/markdown |
| scripts/experiment_designer.py | 2.7 KB | text/plain |
| scripts/feature_engineering_pipeline.py | 2.8 KB | text/plain |
| scripts/model_evaluation_suite.py | 2.7 KB | text/plain |
| SKILL.md | 9.2 KB | text/markdown |
Source and attribution
Source:alirezarezvani/claude-skillsinengineering-team/skills/senior-data-scientistat commit19392f7
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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